fig goooglenet distributed eval bug

ppcls/engine/evaluation/classification.py

@@ -73,14 +73,24 @@ def classification_eval(engine, epoch_id=0):
         # calc metric
         if engine.eval_metric_func is not None:
             if paddle.distributed.get_world_size() > 1:
-                pred_list = []
                 label_list = []
+                paddle.distributed.all_gather(label_list, batch[1])
+                labels = paddle.concat(label_list, 0)
+
                 if isinstance(out, dict):
                     out = out["logits"]
+                if isinstance(out, list):
+                    pred = []
+                    for x in out:
+                        pred_list = []
+                        paddle.distributed.all_gather(pred_list, x)
+                        pred_x = paddle.concat(pred_list, 0)
+                        pred.append(pred_x)
+                else:
+                    pred_list = []
                     paddle.distributed.all_gather(pred_list, out)
-                paddle.distributed.all_gather(label_list, batch[1])
                     pred = paddle.concat(pred_list, 0)
-                labels = paddle.concat(label_list, 0)
+
                 if accum_samples > total_samples:
                     pred = pred[:total_samples + current_samples -
                                 accum_samples]